Why is Supervised Learning Predominant in machine learning a…
Why is Supervised Learning Predominant in machine learning applications today? A. It offers high accuracy by learning directly from labeled data, making it easier to train models for real-world prediction and classification tasks.B. It operates without the need for labeled data, reducing human involvement and improving scalability for tasks involving massive unstructured datasets.C. It builds internal representations using reward signals from the environment, making it suitable for dynamic decision-making in real-time settings.D. It clusters data based on hidden structures without any prior labels, offering flexibility in discovering natural groupings within unknown datasets.